This paper presents a systematic method for designing and evaluating a fuzzy logic controller based on the cell-to-cell mapping technique. Control rules of a fuzzy controller are identified automatically using the cell map information and a genetic optimization process. The resulting controller exhibits near time-optimal control and improved system performance. These characteristics can be evaluated and verified by use of cell maps of the overall system. In particular, the size of the stability region around the equilibrium state can be visualized from the cell map. A demonstration of using cell maps in controller design and system performance evaluation is illustrated for the position control of an inverted pendulum.
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